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2012 [1]
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An Improved Bat Algorithm with Velocity Weighted Disturbance Mechanism
会议论文
作者:
Tang, Jian-Xin
;
Wang, Xin
;
Zhao, Fu-Qing
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浏览/下载:8/0
  |  
提交时间:2019/11/15
Swarm intelligence
Bat algorithm
Local exploitation
Weight disturbance
Image matching using a bat algorithm with mutation (EI CONFERENCE)
会议论文
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
Zhang J.
;
Wang G.
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提交时间:2013/03/25
Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space
a new bat algorithm with mutation (BAM) is proposed to solve image matching problem
and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method
BAM is compared with BA and other population-based optimization methods
DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications
Switzerland.
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